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A new study by Apple researchers presents a method that lets an AI model learn one aspect of the structure of brain electrical activity without any annotated data. Here’s how.
In a new study called “Learning the relative composition of EEG signals using pairwise relative shift pretraining”, Apple introduces PARS, which is short for PAirwise Relative Shift.
Current models rely heavily on human-annotated data for brain activity, indicating which…
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A new study by Apple researchers presents a method that lets an AI model learn one aspect of the structure of brain electrical activity without any annotated data. Here’s how.
In a new study called “Learning the relative composition of EEG signals using pairwise relative shift pretraining”, Apple introduces PARS, which is short for PAirwise Relative Shift.
Current models rely heavily on human-annotated data for brain activity, indicating which…
We strive to uphold the highest ethical standards in all of our reporting and coverage. We StartupNews.fyi want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.
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